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Essays on human capital heterogeneity and agglomeration.

机译:关于人力资本异质性和集聚的论文。

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This dissertation consists of three essays exploring how human capital heterogeneity within cities enhances individual productivity. Agglomeration theory suggests productivity is driven by rapid and frequent interactions with others in spatially-constrained areas. Using formal education data from the 2011 American Community Survey, we empirically test that theory by estimating the effects of local human capital stock characteristics on individual wages.;In essay one, we posit that some kinds of knowledge are harder to exchange remotely and thus workers possessing those knowledge types benefit more from close physical proximity to others. Our theoretical framework demonstrates the returns to finding a partner to exchange ideas with are heterogeneous across knowledge types. We propose agglomerative environments favor "soft skills" where creativity and informal networking are important. Our empirical results show people with non-STEM majors benefit more from locating within a city. Conversely, terminal degrees such as a J.D. or M.D. experience a smaller urban wage premium.;Essay two studies the role of specialization of human capital types for individual productivity. Glaeser et al. (1992) finds local industrial specialization has a non-increasing effect on employment and wage growth. Our empirical results indicate specialization of knowledge can play an important role in promoting productivity when simultaneously controlling for a population size effect via the urban wage premium. We find STEM-related knowledge benefits greatly from local specialization of knowledge. However, the urbanization effect from city population size often exceeds the specialization effect. The third essay studies how workers in cities learn from one another in dense economic settings. Following Winters (2014), we estimate the impact of changes in the local stock of particular knowledge types on individual wages. The richness of our data allows us to estimate the productivity effects from over 400 different combinations of human capital interactions. We find most knowledge types are more productive when local STEM presence increases. The effect is strongest among workers with higher levels of educational attainment in the earlier stages of their careers. Similarly, areas such as government and psychology generate productivity gains among others. However, the lowest productivity gains occur from interactions with religious or education backgrounds.
机译:本文由三篇论文组成,探讨了城市内部人力资本异质性如何提高个人生产率。集聚理论表明,生产力是受空间受限区域中与他人快速频繁的互动所驱动的。我们使用来自2011年美国社区调查的正式教育数据,通过估算当地人力资本存量特征对个人工资的影响,对这一理论进行了实证检验。在第一篇文章中,我们假设某些知识很难远程交换,因此工人具有这些知识类型的人可以从与他人的紧密身体接触中受益更多。我们的理论框架证明了寻找合作伙伴交换思想的回报在各种知识类型之间是异质的。我们建议聚集的环境偏向于“软技能”,在这些技能中创造力和非正式的网络很重要。我们的经验结果表明,非STEM专业人士可以从城市中受益。相反,法学博士学位或法学博士学位等末级学位的城市工资溢价较小。第二篇论文研究了人力资本类型专业化对个人生产率的作用。 Glaeser等。 (1992)发现地方工业专业化对就业和工资增长没有增加的影响。我们的经验结果表明,知识的专业化在通过城市工资溢价同时控制人口规模效应的同时,可以在促进生产力方面发挥重要作用。我们发现与STEM相关的知识从本地知识的专业化中受益匪浅。但是,城市人口规模带来的城市化效应往往超过专业化效应。第三篇文章研究了城市工人如何在密集的经济环境中互相学习。根据Winters(2014),我们估计当地特定知识类型的库存变化对个人工资的影响。丰富的数据使我们能够从400多种不同的人力资本互动组合中估算生产率影响。我们发现,当本地STEM的存在增加时,大多数知识类型将更有生产力。在职业生涯的早期阶段,受过较高教育程度的工人的影响最大。同样,诸如政府和心理学等领域也可以提高生产率。但是,生产率提高最低的是与宗教或教育背景的互动。

著录项

  • 作者

    Patton, Michaela Cherie.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Economics.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 211 p.
  • 总页数 211
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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